Prathamesh Devadiga
Incoming CS PhD student, Dartmouth College · ML Security · LLM Privacy · Production AI Systems
Hanover, NH
I am an incoming CS PhD student at Dartmouth College, working with Prof. Shawn Shan on machine learning security and LLM privacy. I completed my B.Tech in Computer Science at PES University, Bangalore.
My research sits at the intersection of ML security, production AI systems, and trustworthy AI. The core question I keep coming back to: what does a model actually know, and what are the limits of our ability to control that?
I also lead Ādhāra AI Labs, an independent research lab working on compiler optimization with small language models, efficient neural architectures, and production LLM infrastructure. I am a research affiliate at Lossfunk and completed Google Summer of Code 2025 with UCSC-OSPO.
If you would like to chat about ML security research, collaborations, or graduate school, feel free to email me.
On this site, you can find my publications, projects, talks, and blog.
news
| Jul 01, 2026 | Starting CS PhD at Dartmouth College with Prof. Shawn Shan, working on ML security and LLM privacy. |
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| Jun 01, 2026 | Paper accepted at ICML 2026 AI4Law Workshop: Resistant to Lawyers, Defeated by Disagreement. |
| Aug 01, 2025 | Completed Google Summer of Code 2025 with UCSC-OSPO on billion-scale ANN embedding benchmarks. |
| Mar 01, 2025 | Tulu structured prompting paper accepted at EACL 2025 LoResLM Workshop. |
| Jan 01, 2025 | Research affiliate at Lossfunk, working on low-resource NLP and structured prompting. |
latest posts
selected publications
- ICMLResistant to Lawyers, Defeated by Disagreement: Evaluation Blindspots in Legal Language ModelsIn ICML 2026 AI4Law Workshop, 2026
- NeurIPSSLMs as Compiler Experts: Auto-Parallelization for Heterogeneous SystemsIn NeurIPS 2025 Workshop on Machine Learning for Systems, 2025
- EACLCan LLMs Learn Tulu? Teaching Low-Resource Languages Through Hard Constraint PromptingIn EACL 2026 LoResLM Workshop, 2026